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Complete classification of raw LIDAR data and 3D reconstruction of buildings
This paper presents a three-stage framework for a robust automatic classification of raw LIDAR data as buildings, ground and vegetation, followed by a reconstruction of 3D models of the buildings. Expand
Performance evaluation of automated approaches to building detection in multi-source aerial data
Automated approaches to building detection in multi-source aerial data are important in many applications, including map updating, city modeling, urban growth analysis and monitoring of informalExpand
Filtering non-terrain points from raw laser scanning data is the most important goal to improve productivity in DTM generation. Filtering algorithms are built on assumptions about what discriminatesExpand
Photogrammetric Processing of Spherical Panoramas
Panoramic images have increasingly interesting applications and they are extensively used for cultural heritage documentation and virtual 3D environments. Moreover, it has been proven that they canExpand
The Use of Surveillance Cameras for the Rapid Mapping of Lava Flows: An Application to Mount Etna Volcano
A processing method to use the surveillance cameras for a quasi real-time mapping of syn-eruptive processes in Mt. Etna and could be integrated in the control room of the Osservatorio Etneo, enabling the Etna_NETVIS for mapping purposes and not only for video surveillance. Expand
Landslide detection and inventory by integrating LiDAR data in a GIS environment
In this work, a simple methodology is presented for processing high-resolution topographical data over wide areas. It is based on digital elevation model of differences (DEMoD) among high-resolutionExpand
Building Reconstruction and Visualization from LIDAR Data
A strategy for building extraction and building reconstruction from dense LIDAR data is presented. Roofs are modeled as plane surfaces, connected along ridges and bordered by the eaves lines. InitialExpand
Classification and filtering of laser data
A strategy for the classification of raw LIDAR data as terrain, buildings and vegetation is presented. Its main features are a preliminary classification of grid data based on a geometric andExpand
Single-tree detection in high-density LiDAR data from UAV-based survey
ABSTRACT Unmanned aerial vehicle-based LiDAR survey provides very-high-density point clouds, which involve very rich information about forest detailed structure, allowing for detection of individualExpand
A comparison of Bayesian and evidence-based fusion methods for automated building detection in aerial data
Automated approaches to building detection are of great importance in a number of different applications including map updating and monitoring of informal settlements. With the availability ofExpand